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The Pallas’s cat (Otocolobus manul) is one of the most understudied taxa in the Felidae family. The species is currently assessed as being of “Least Concern” in the IUCN Red List, but this assessment is based on incomplete data. Additional ecological and genetic information is necessary for the long-term in situ and ex situ conservation of this species. We identified 29 microsatellite loci with sufficient diversity to enable studies into the individual identification, population structure, and phylogeography of Pallas’s cats. These microsatellites were genotyped on six wild Pallas’s cats from the Tibet Autonomous Region and Mongolia and ten cats from a United States zoo-managed population that originated in Russia and Mongolia. Additionally, we examined diversity in a 91 bp segment of the mitochondrial 12S ribosomal RNA (MT-RNR1) locus and a hypoxia-related gene, endothelial PAS domain protein 1 (EPAS1). Based on the microsatellite and MT-RNR1 loci, we established that the Pallas’s cat displays moderate genetic diversity. Intriguingly, we found that the Pallas’s cats had one unique nonsynonymous substitution in EPAS1 not present in snow leopards (Panthera uncia) or domestic cats (Felis catus). The analysis of the zoo-managed population indicated reduced genetic diversity compared to wild individuals. The genetic information from this study is a valuable resource for future research into and the conservation of the Pallas’s cat. 

Abstract Tropospheric bromine radicals in the Arctic efficiently remove ambient ozone and oxidize gaseous elemental mercury. Ground‐based bromine monoxide (BrO) observations from the Arctic Ocean and Utqiaġvik (formerly Barrow) are combined with Modern Era Retrospective Analysis for Research and Applications version 2 reanalysis meteorological fields to determine how BrO varies with environmental conditions. The mean seasonal BrO abundance varies from year to year (p < 0.001), while regional variance in mean BrO is not statistically significant (p > 0.11). Principal component analysis derived three important principal components from the environmental data set. The third principal component explains the most variance in BrO and is correlated with low ozone and cold temperatures. This principal component is consistent with high BrO during ozone depletion events at cold temperatures and can work concurrently with each of the other two principal components to generate two distinct environmental types of high BrO events. The first principal component consists of a less‐stable, thick, mixed layer and low atmospheric pressure and is consistent with observations of high BrO in low‐pressure systems (e.g., storms). The second principal component consists of cold and stable conditions and is consistent with high BrO under surface‐based temperature inversions. Our principal component regression model predicted the both the vertical column density of BrO in the lowest 2 km of the troposphere (R = 0.45) and the vertical column density of BrO in the lowest 200 m (R = 0.54). This statistical description of two types of reactive bromine events may help to harmonize space‐based and ground‐based observations.